IDEAS home Printed from https://ideas.repec.org/a/ags/ijfaec/190814.html
   My bibliography  Save this article

Nonparametric Model For Measuring Impact Of Inputs Density On Egyptian Tomato Production Efficiency

Author

Listed:
  • Alboghdady, Mohamed Altabei

Abstract

The present study was conducted to measure the production efficiency of tomatoes in Ismailia, Egypt, adopting Data Envelopment analysis (DEA) procedures. Fifty eight of tomato farms had been surveyed in Ismailia governorate for the season July to October 2013. DEA was adopted to estimate technical, allocative, cost, and scale efficiency scores for the surveyed farms. A two limited Tobit regression analysis was used to estimate the impact of inputs overuse on efficiency measures. The analysis revealed that the estimated mean of the technical efficiency was 91 percent indicating that the total output can be further increased with efficient use of resources and technology. The results of allocative, cost, and scale efficiency measures showed substantial degree of inefficiency. The inefficiency can be attributed to overuse of land, seedlings, manure nitrogen fertilizers, potassium fertilizers, and labor. Most of scale inefficiency (about 76%) arisen from farms revealing increased returns to scale implying that most of the farms operate at sub-optimal level. Therefore, recommendations issued by agricultural extension agency in Egypt need to be revised in the light of efficiency measures rather Than production maximization.

Suggested Citation

  • Alboghdady, Mohamed Altabei, 2014. "Nonparametric Model For Measuring Impact Of Inputs Density On Egyptian Tomato Production Efficiency," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 2(4), pages 1-10, October.
  • Handle: RePEc:ags:ijfaec:190814
    DOI: 10.22004/ag.econ.190814
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/190814/files/vol2.no4.pp81.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.190814?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Maddala,G. S., 1986. "Limited-Dependent and Qualitative Variables in Econometrics," Cambridge Books, Cambridge University Press, number 9780521338257, October.
    2. Tim Coelli & Sanzidur Rahman & Colin Thirtle, 2002. "Technical, Allocative, Cost and Scale Efficiencies in Bangladesh Rice Cultivation: A Non‐parametric Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 53(3), pages 607-626, November.
    3. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    4. repec:ags:joaaec:163230 is not listed on IDEAS
    5. Abdul Wadud & Ben White, 2000. "Farm household efficiency in Bangladesh: a comparison of stochastic frontier and DEA methods," Applied Economics, Taylor & Francis Journals, vol. 32(13), pages 1665-1673.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. Watkins, K. Bradley & Hristovska, Tatjana & Mazzanti, Ralph & Wilson, Charles E. Jr & Schmidt, Lance, 2014. "Measurement of Technical, Allocative, Economic, and Scale Efficiency of Rice Production in Arkansas Using Data Envelopment Analysis," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 46(1), pages 1-18, February.
    8. Watkins, K. Bradley & Hristovska, Tatjana & Mazzanti, Ralph & Wilson, Charles E. & Schmidt, Lance, 2014. "Measurement of Technical, Allocative, Economic, and Scale Efficiency of Rice Production in Arkansas Using Data Envelopment Analysis," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 46(1), pages 89-106, February.
    9. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    10. Amemiya, Takeshi, 1984. "Tobit models: A survey," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 3-61.
    11. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Blend Frangu & Jennie Sheerin Popp & Michael Thomsen & Arben Musliu, 2018. "Evaluating Greenhouse Tomato and Pepper Input Efficiency Use in Kosovo," Sustainability, MDPI, vol. 10(8), pages 1-14, August.
    2. Al-Abdulkader Ahmed M. & Al-Kahtani Safar H. & Ismaiel, Sobhy M. & Elhendi Ahmed M. & Saad Ali I. & Alamri Yosef A. & Al-Dakhil Abdullah I., 2016. "Enhancing Marketing Efficiency of the Saudi Dates at the National and International Markets," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(8), pages 1-53, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Abdul Wadud, 2013. "Impact of Microcredit on Agricultural Farm Performance and Food Security in Bangladesh," Working Papers 14, Institute of Microfinance (InM).
    2. Madau, Fabio A., 2012. "Technical and scale efficiency in the Italian Citrus Farming: A comparison between Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis(DEA) Models," MPRA Paper 41403, University Library of Munich, Germany.
    3. Musa, H. Ahmed & Lemma, Z. & Endrias, G., 2015. "Measuring Technical, Economic and Allocative Efficiency of Maize Production in Subsistence Farming: Evidence from the Central Rift Valley of Ethiopia," APSTRACT: Applied Studies in Agribusiness and Commerce, AGRIMBA, vol. 9(3), pages 1-12, December.
    4. G. Thomas Sav, 2012. "Efficiency Estimates and Rankings Employing Data Envelopment and Stochastic Frontier Analyses: Evaluating the Management of U.S. Public Colleges," Information Management and Business Review, AMH International, vol. 4(8), pages 444-452.
    5. Subhash C. Ray & Lei Chen, 2015. "Data Envelopment Analysis for Performance Evaluation: A Child’s Guide," Springer Books, in: Subhash C. Ray & Subal C. Kumbhakar & Pami Dua (ed.), Benchmarking for Performance Evaluation, edition 127, chapter 0, pages 75-116, Springer.
    6. Chin‐wei Huang & Hsiao‐Yin Chen, 2023. "Using nonradial metafrontier data envelopment analysis to evaluate the metatechnology and metafactor ratios for the Taiwanese hotel industry," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 1904-1919, June.
    7. W. Cooper & C. Lovell, 2011. "History lessons," Journal of Productivity Analysis, Springer, vol. 36(2), pages 193-200, October.
    8. Ismat Ara Begum & Mohammad Jahangir Alam & Jeroen Buysse & Aymen Frija & Guido Van Huylenbroeck, 2012. "Contract farmer and poultry farm efficiency in Bangladesh: a data envelopment analysis," Applied Economics, Taylor & Francis Journals, vol. 44(28), pages 3737-3747, October.
    9. Rudra Bahadur SHRESTHA & Wen-Chi HUANG & Shriniwas GAUTAM & Thomas Gordon JOHNSON, 2016. "Efficiency of small scale vegetable farms: policy implications for the rural poverty reduction in Nepal," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 62(4), pages 181-195.
    10. Ljubica Nedelkoska, 2010. "Occupations at risk: The task content and job stability," Jena Economics Research Papers 2010-024, Friedrich-Schiller-University Jena.
    11. Md Ali & K. Klein, 2014. "Water Use Efficiency and Productivity of the Irrigation Districts in Southern Alberta," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 2751-2766, August.
    12. Ioannis E. Tsolas, 2020. "Benchmarking Wind Farm Projects by Means of Series Two-Stage DEA," Clean Technol., MDPI, vol. 2(3), pages 1-12, September.
    13. A. M. Theodoridis & A. Psychoudakis, 2008. "Efficiency Measurement in Greek Dairy Farms: Stochastic Frontier vs. Data Envelopment Analysis," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 1(2), pages 53-67, December.
    14. Zahidul Islam, K.M. & Sumelius, John & Bäckman, Stefan, 2012. "Do differences in technical efficiency explain the adoption rate of HYV rice? Evidence from Bangladesh," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 13(1), pages 1-18.
    15. Agrell, Per J. & Teusch, Jonas, 2020. "Predictability and strategic behavior under frontier regulation," Energy Policy, Elsevier, vol. 137(C).
    16. Milton Nektarios & Panos Xenos & George Nektarios & Kostas Poulakis & Michalis Chouzouris, 2015. "Efficiency Analysis of Lloyd’s Syndicates: A Comparison of DEA and SFA Approaches," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 65(1-2), pages 27-46, January-M.
    17. David J. Mayston, 2012. "Analysing the effectiveness of public service producers with endogenous resourcing," Discussion Papers 12/30, Department of Economics, University of York.
    18. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    19. Calogero Guccio & Marco Ferdinando Martorana & Luisa Monaco, 2016. "Evaluating the impact of the Bologna Process on the efficiency convergence of Italian universities: a non-parametric frontier approach," Journal of Productivity Analysis, Springer, vol. 45(3), pages 275-298, June.
    20. Frija, Aymen & Chebil, Ali & Speelman, Stijn & Buysse, Jeroen & Van Huylenbroeck, Guido, 2009. "Water use and technical efficiencies in horticultural greenhouses in Tunisia," Agricultural Water Management, Elsevier, vol. 96(11), pages 1509-1516, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:ijfaec:190814. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iiaaktr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.